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University of Groningen

Advanced tuning algorithms for high-frequency SIS mixers Hesper, Ronald; Barkhof, Jan; Vos, Tobias; Baryshev, Andrey

DOI:

10.5281/zenodo.3240311

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2019

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Hesper, R., Barkhof, J., Vos, T., & Baryshev, A. (2019). Advanced tuning algorithms for high-frequency SIS mixers. Paper presented at ALMA Development Workshop, ESO 2019, Garching, Germany.

https://doi.org/10.5281/zenodo.3240311

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Advanced Tuning Algorithms

for

High-Frequency SIS Mixers

Ronald Hesper

Jan Barkhof

Tobias Vos

Andrey Baryshev

ALMA Development Workshop, ESO 2019-06-05 NOVA Sub-mm

Instrumentation Group

(3)

Tuning SIS mixers

The main tuning parameters of SIS mixers:

● Bias voltage (V

SIS)

● Bias current (I

SIS), set by LO power (VD)

● Josephson suppression, set by magnetic field (I

M)

ISIS(VD)

VSIS Josephson

(4)

Josephson suppression

Ideal Reality: multiple states, hysteresis

Delivered tunings: usually 2nd minimum

Significant noise temperature

improvement possible in many (most?) mixers going to first minimum

(5)

Software infrastructure

Top-level structure Structure of instrument sub-package

The engineering software package (“Rodrigo”) used for Band 9 and Band 5

qualification is not suitable as-is for adaptive algorithms (no conditionals or loops). → new Python-based engineering package (“NOVAsoft”)

● Maintains “look & feel” of Rodrigo (configuration, file formats, basic scripts)

● ... but unlocks full programming language facilities

(6)

Automating human decisions

Formerly, the minima were found by eye. The new algorithm finds them by filtering and differentiating, within limiting values.

There are several parameters to tweak in order to get reliable identification of minima → should be tested on sufficient #mixers The suppression can be verified by the p-p range of the Josephson structure in the power curve.

(7)

How many mixers can be improved?

By how much?

For CHAMP+ upgrade ≈20 AlN SIS junctions were re-measured

In both 1st and 2nd minima (sometimes 3rd)

(8)

Expected improvement for ALMA

At the high end of the band (e.g., CO 6-5), about 10-15% noise temperature could be shaved off →5-7 antennas for free!

(9)

H-field dependence of the

noise temperature

Question: what actually determines the noise temperature:

● The magnetic field?

● The supercurrent? 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Bias voltage [mV] 32.5 30.0 27.5 25.0 22.5 20.0 17.5 IF power [dBm] Pol 0 (8.8 mA) Pol 0 (7.8 mA) Pol 1 (11.4 mA) Pol 1 (6.4 mA)

As long as the bias voltage stays out of the Josephson region, there is a straight relationship between TN and IM, no sign of minima.

(10)

T

N

vs. I

M

Discrepancy between CHAMP data and recent measurements Tuning? To be investigated

(11)

10-2 10-1 100 101 102 103 tau (sec.) 10-8 10-7 10-6 10-5

Allan Variance Total power for different magnet currents Polarisation 0 Im = 0.0 mA Im = 4.0 mA Im = 8.0 mA Im = 12.0 mA Im = 16.0 mA Im = 20.0 mA Im = 24.0 mA 10-2 10-1 100 101 102 103 tau (sec.) 10-8 10-7 10-6 10-5

Allan Variance Total power for different magnet currents Polarisation 1 Im = 0.0 mA Im = 4.0 mA Im = 8.0 mA Im = 12.0 mA Im = 16.0 mA Im = 20.0 mA Im = 24.0 mA

Do other performance properties

suffer from low magnet current?

50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 0.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 2.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 4.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 6.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 8.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 10.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 12.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 14.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 16.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 18.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 20.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 22.0 mA 50 100 150 200 250 300 350 400 Load (K) 0.9 0.95 1 1.05 1.1

Normalized Gain vs. Load Temperature Imagnet 24.0 mA

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Conclusions

A new engineering software infrastructure was developed, with

full higher-level language facilities.

The traditional “by eye” optimizations for SIS voltage, pumping level

and Josephson suppression were automated.

For a good suppression, it is not necessary to go to a minimum in

critical current. The lowest current giving good stability and

compression level should be usable in most cases.

The existing ALMA Band 9 mixers can probably be improved by 10-15%

on average, yielding a performance increase worth several antennas.

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